Automated segmentation of μ-XRF image sets

The combined use of principal component analysis (PCA) and K-means clustering (KMC) for the segmentation and (semi-)quantitative calibration of multivariate μ-XRF data sets is proposed and evaluated. The usefulness of the method is compared with that of using PCA or KMC separately by discussing image sets derived from geological and archeometric samples.